Can GPT-3.5 Generate and Code Discharge Summaries?

Understand

Objective: To investigate GPT-3.5 in generating and coding medical documents with ICD-10 codes for data augmentation on low-resources labels.

• Materials and Methods: Employing GPT-3.5 we generated and coded 9,606 discharge summaries based on lists of ICD-10 code descriptions of patients with infrequent (generation) codes within the MIMIC-IV dataset.
• Combined with the baseline training set, this formed an augmented training set.
• Neural coding models were trained on baseline and augmented data and evaluated on a MIMIC-IV test set.